Can Qwen 3 30B A3B run on Mac Studio M2 Ultra 64GB?
YES — Runs Great
Qwen 3 30B A3B needs ~27.8 GB VRAM. Mac Studio M2 Ultra 64GB has 46.1 GB. With Q4_K_M quantization, expect ~91 tok/s.
Operating mode
Choose the run profile you care about
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
91.2 tok/s
TTFT
2123 ms
Safe context
131K
Memory
27.8 GB / 46.1 GB
Memory breakdown
See how fast it feels
What limits this setup
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
Best improvement path
Performance by workload
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | S | Runs well | 91.2 tok/s | 1158 ms | 131K |
| Coding | S | Runs well | 91.2 tok/s | 2123 ms | 131K |
| Agentic Coding | S | Runs well | 91.2 tok/s | 3087 ms | 131K |
| Reasoning | S | Runs well | 91.2 tok/s | 2508 ms | 131K |
| RAG | S | Runs well | 91.2 tok/s | 3859 ms | 131K |
Quantization options
How Qwen 3 30B A3B (30.5B params) fits at each quantization level on Mac Studio M2 Ultra 64GB (46.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 11.9 GB | Low | A84 |
Q3_K_S | 3 | 14.9 GB | Low | S85 |
NVFP4 | 4 | 17.1 GB | Medium | S86 |
Q4_K_M | 4 | 18.6 GB | Medium | S87 |
Q5_K_M | 5 | 22.0 GB | High | S88 |
Q6_K | 6 | 25.0 GB | High | S89 |
Q8_0Best for your GPU | 8 | 32.6 GB | Very High | S88 |
F16 | 16 | 62.5 GB | Maximum | F0 |
Get started
Copy-paste commands to run Qwen 3 30B A3B on your machine.
Run
ollama run qwen3:30b-a3bYour hardware
